Big Data Infrastructure
ResourceFlow is a London based, technically minded resource supplier focussed in the field of Data Science, Machine Learning, Artificial Intelligence and Big Data Infrastructure.
We aim to bridge the gap between skilled candidates and client requirement for both contract and permanent roles. Our latest opportunities can be found listed in the column to the left (on the home page).
Looking for a new contract or full time position? If so then please register your CV and 'saved job searches' to receive alerts on the latest vacancies via the blue Linked in API above this text.
Please feel free to contact us directly for more information on our services.
ResourceFlow were the ideal recruitment agency for me to deal with. They quickly found me several roles which were perfectly suited to my skills and experience and helped me secure a position with a company that is a perfect match for me. I’d recommend them to any developer looking to take the next step in their career
Head of development
Chris is a great guy. Very meticulous and detail oriented person. He is a person with a lot of enthusiasm. works with a lot of zeal and rigour. I would be more than glad to work with Chris in the future.
Senior Software Engineer
Chris is one of the best agents I have ever worked with. He keeps you informed and updated at every stage of the process, and always strives to ensure that you are never left wondering. He is determined and tenacious when it comes to identifying and closing a deal. I have no hesitation in recommending Chris to any IT professional looking for a new job.
Resourceflow have a deep understanding of our business model and our resulting technical requirements. They combine this with their extensive knowledge of the contract and permanent consultant market and provide us with suitable candidates time after time. Resourceflow are my first port of call when looking for new technical team members.
COO - www.tbscg.com
Data Science Recruitment Data Science is fast becoming the sexiest job of the 21st century, if it wasn’t already. After a relatively slow start, the momentum has continued to gather and all indicators show that the role of Data Scientist is here to stay and the need for such talent will only cont...
2016-04-13 11:00:00 +0100
Deep Learning has been taking the data science community by storm recently. What is it, and why now? Deep learning is essentially artificial neural networks, or ANN’s, machine learning systems whose architecture is based on how the biological brain processes data. Instead of hard coding a set of ...
2016-04-04 17:00:00 +0100
Machine learning for the small medium or large enterprise. How can it benefit you? Machine Learning as a Service (MLaaS); ResourceFlow specialise in Data Science. One aspect of our business is recruitment or resourcing for specialist skillsets associated with Data Science, and the other is our cl...
2015-12-03 18:00:00 +0000
ResourceFlow is a specialst independent resourcing company that foucs on Big Data Recruitment and Data Science Recruitment. Our key recruiters have a both a background in computer science and a deep understanding of Big Data and Data Science technologoes. This is backed up by regular technical tr...
2015-10-17 12:00:00 +0100
I was curious upon hearing a Data Scientist mention that he uses Pandas, the open source statistical library for the Python programming language instead of R and decided to investigate. I understand that R is a key part of the Data Scientist toolset and wanted to find out three things about R and...
2015-07-17 08:00:00 +0100
What does the future hold for the big data and Hadoop job market in 2015? The words Big Data and Hadoop have certainly been on the tip of many people’s tongue in 2014 and you can guarantee that almost everyone who has anything to do with the IT world have come across these terms at one point or a...
2014-11-25 15:00:00 +0000
Apache Hadoop What is Apache Hadoop technology and how can it applied to Big Data solutions? The under-lying technology for Apache Hadoop was originally invented by Google years ago so they could make sense of and index the textual and structural information that was being collected and then pres...
2014-06-22 14:42:00 +0100